##
##
## | | level | ASD | TD | p | test |
## |:-------------------------:|:------:|:---------------------:|:----------------------:|:------:|:----:|
## | **n** | | 28 | 27 | | |
## | **SEX (%)** | Female | 6 (21.4) | 14 (51.9) | 0.039 | |
## | | Male | 22 (78.6) | 13 (48.1) | | |
## | **V1.Age (mean (SD))** | | 39.39 (13.77) | 39.56 (13.98) | 0.965 | |
## | **MEL_cat (mean (SD))** | | 3.52 (1.60) | 4.33 (1.05) | 0.049 | |
## | **INR (mean (SD))** | | 3.35 (2.79) | 4.37 (2.10) | 0.180 | |
## | **zipIncome (mean (SD))** | | 53477.39 (18001.70) | 57480.76 (15744.99) | 0.439 | |
## | **SES1 (mean (SD))** | | -0.40 (2.06) | 0.62 (1.76) | 0.054 | |
## | **SES2 (mean (SD))** | | -0.27 (0.34) | -0.17 (0.27) | 0.244 | |
## | **ExpLang_T (mean (SD))** | | 31.67 (11.07) | 49.78 (11.10) | <0.001 | |
## | **RecLang_T (mean (SD))** | | 32.32 (11.85) | 53.85 (10.96) | <0.001 | |
## | **ELC_SS (mean (SD))** | | 71.96 (20.00) | 105.67 (15.78) | <0.001 | |
## | **TBV (mean (SD))** | | 1077031.79 (96937.48) | 1050164.41 (111924.89) | 0.345 | |
##
## Table: Participant Summary Table for Q>=4
##
##
## | | level | ASD | TD | p | test |
## |:-------------------------:|:------:|:----------------------:|:----------------------:|:------:|:----:|
## | **n** | | 36 | 31 | | |
## | **SEX (%)** | Female | 10 (27.8) | 14 (45.2) | 0.221 | |
## | | Male | 26 (72.2) | 17 (54.8) | | |
## | **V1.Age (mean (SD))** | | 39.03 (12.95) | 37.61 (14.20) | 0.671 | |
## | **MEL_cat (mean (SD))** | | 3.54 (1.50) | 4.36 (0.99) | 0.019 | |
## | **INR (mean (SD))** | | 3.46 (2.75) | 4.13 (2.14) | 0.319 | |
## | **zipIncome (mean (SD))** | | 54158.10 (18734.17) | 56118.68 (15004.41) | 0.675 | |
## | **SES1 (mean (SD))** | | -0.35 (1.97) | 0.54 (1.66) | 0.053 | |
## | **SES2 (mean (SD))** | | -0.25 (0.35) | -0.19 (0.26) | 0.427 | |
## | **ExpLang_T (mean (SD))** | | 32.62 (11.76) | 48.77 (11.52) | <0.001 | |
## | **RecLang_T (mean (SD))** | | 32.49 (12.52) | 53.32 (11.13) | <0.001 | |
## | **ELC_SS (mean (SD))** | | 72.23 (19.97) | 104.94 (16.57) | <0.001 | |
## | **TBV (mean (SD))** | | 1076827.78 (100384.08) | 1045805.34 (115665.34) | 0.244 | |
##
## Table: Participant Summary Table for Q>=3
Bivariate Plot
Bivariate Plot
Bivariate Plot ASD Only
Bivariate Plot ASD Only
Bivariate Plot, TD Only
Bivariate Plot, TD Only
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.48 | 2.46 – 4.50 | <0.001 |
| Income:Needs | 0.04 | 0.01 – 0.08 | 0.026 |
| TBV | 0.00 | -0.00 – 0.00 | 0.125 |
| Age | 0.01 | 0.00 – 0.02 | 0.027 |
| Observations | 42 | ||
| R2 / R2 adjusted | 0.342 / 0.290 | ||
Income to needs ratio predicts rh_parsopercularis_lgi, controlling for age and TBV (dx, sex, and age not sig. predictors)
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.74 | 2.91 – 4.58 | <0.001 |
| Income:Needs | 0.03 | 0.00 – 0.07 | 0.045 |
| TBV | 0.00 | -0.00 – 0.00 | 0.144 |
| Age | 0.01 | 0.00 – 0.01 | 0.031 |
| Observations | 52 | ||
| R2 / R2 adjusted | 0.289 / 0.244 | ||
Income to needs ratio predicts rh_parsopercularis_lgi, controlling for age and TBV (dx, sex, and age not sig. predictors)
Neighborhood Advantage not a significant predictor of LGI when controlling for TBV and dx for Q>=4.
Neighborhood Advantage not a significant predictor of LGI when controlling for TBV and dx for data Q>=3.
Neighborhood Disdvantage is a significant predictor of lh-middle temporal LGI and rh-transverse temporal when controlling for TBV and age for Q>=4. There is not a significant SES2xDx Interaction (dx main effect also not significant). This indicates that higher disadvantage is associated with higher LGI (primarily in the TD group). This finding is in a different direction than those with INR.
| Â | lh_middletemporal_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.90 | 2.40 – 3.40 | <0.001 |
| SES2 | 0.16 | 0.01 – 0.31 | 0.039 |
| TBV | 0.00 | 0.00 – 0.00 | 0.008 |
| Age | 0.00 | -0.00 – 0.01 | 0.467 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.299 / 0.257 | ||
Neighborhood Disadvantage is not a significant predictor of LGI when controlling for TBV and dx for data q >=3.
| Â | lh_middletemporal_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.04 | 2.60 – 3.48 | <0.001 |
| SES2 | 0.13 | -0.01 – 0.26 | 0.072 |
| TBV | 0.00 | 0.00 – 0.00 | 0.011 |
| Age | 0.00 | -0.00 – 0.00 | 0.534 |
| Observations | 66 | ||
| R2 / R2 adjusted | 0.232 / 0.195 | ||
Maternal Education not a significant predictor of LGI when controlling for TBV and dx for data Q>=4.
Maternal Education not a significant predictor of LGI when controlling for TBV and dx for data Q>=3.
Zip-Income is a significant predictor when controlling for TBV. Removed Age and Dx from models since they were not significant.
| Â | lh_parsorbitalis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.20 | 1.50 – 2.89 | <0.001 |
| Zip-Income | 0.00 | 0.00 – 0.00 | 0.020 |
| TBV | 0.00 | -0.00 – 0.00 | 0.151 |
| Age | 0.00 | -0.00 – 0.01 | 0.182 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.296 / 0.255 | ||
Zip-Income is a significant predictor of lh-pars orbitals LGI, when controlling for TBV and age, for Q>=3.
| Â | lh_parsorbitalis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.20 | 1.50 – 2.89 | <0.001 |
| Zip-Income | 0.00 | 0.00 – 0.00 | 0.020 |
| TBV | 0.00 | -0.00 – 0.00 | 0.151 |
| Age | 0.00 | -0.00 – 0.01 | 0.182 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.296 / 0.255 | ||
Dx predicts left hemisphere pars triangularis and right hemisphere middle temporal LGI, when controlling for TBV, age, and sex (the latter were not sig. predictors or RH MTG LGI, so removed from the model).
| Â | lh_parstriangularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.26 | 2.51 – 4.01 | <0.001 |
| Dx | -0.15 | -0.29 – -0.01 | 0.034 |
| TBV | 0.00 | 0.00 – 0.00 | 0.001 |
| Sex | -0.18 | -0.35 – -0.01 | 0.038 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.234 / 0.189 | ||
| Â | rh_middletemporal_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.29 | 1.83 – 2.76 | <0.001 |
| Dx | 0.09 | 0.01 – 0.18 | 0.035 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Observations | 54 | ||
| R2 / R2 adjusted | 0.393 / 0.369 | ||
Diagnosis not associated with LGI in the Q>=3 dataset (after removing SES variables from the model).
| Â | lh_parstriangularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.26 | 2.51 – 4.01 | <0.001 |
| Dx | -0.15 | -0.29 – -0.01 | 0.034 |
| TBV | 0.00 | 0.00 – 0.00 | 0.001 |
| Sex | -0.18 | -0.35 – -0.01 | 0.038 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.234 / 0.189 | ||
| Â | rh_middletemporal_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.29 | 1.83 – 2.76 | <0.001 |
| Dx | 0.09 | 0.01 – 0.18 | 0.035 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Observations | 54 | ||
| R2 / R2 adjusted | 0.393 / 0.369 | ||
Sex predicts lh pars opercularis LGI, controlling for TBV, dx, and age
| Â | lh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.28 | 2.43 – 4.12 | <0.001 |
| Sex | -0.19 | -0.38 – -0.00 | 0.046 |
| Dx | -0.14 | -0.29 – 0.01 | 0.062 |
| Age | 0.00 | -0.00 – 0.01 | 0.247 |
| TBV | 0.00 | 0.00 – 0.00 | 0.001 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.376 / 0.326 | ||
Sex predicts lh pars opercularis LGI, controlling for TBV, dx, and age
| Â | lh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.27 | 2.57 – 3.96 | <0.001 |
| Sex | -0.17 | -0.32 – -0.03 | 0.018 |
| Dx | -0.14 | -0.27 – -0.01 | 0.030 |
| Age | 0.00 | -0.00 – 0.01 | 0.200 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Observations | 67 | ||
| R2 / R2 adjusted | 0.438 / 0.402 | ||